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Arrays of integers are often compressed in search engines. Though there aremany ways to compress integers, we are interested in the popular byte-orientedinteger compression techniques (e.g., VByte or Google's Varint-GB). They areappealing due to their simplicity and engineering convenience. Amazon'svarint-G8IU is one of the fastest byte-oriented compression technique publishedso far. It makes judicious use of the powerful single-instruction-multiple-data(SIMD) instructions available in commodity processors. To surpass varint-G8IU,we present Stream VByte, a novel byte-oriented compression technique thatseparates the control stream from the encoded data. Like varint-G8IU, StreamVByte is well suited for SIMD instructions. We show that Stream VByte decodingcan be up to twice as fast as varint-G8IU decoding over real data sets. In thissense, Stream VByte establishes new speed records for byte-oriented integercompression, at times exceeding the speed of the memcpy function. On a 3.4GHzHaswell processor, it decodes more than 4 billion differentially-coded integersper second from RAM to L1 cache.

Stream VByte: Faster Byte-Oriented Integer Compression